Recent studies establish that cortical oscillations track naturalistic speech in a remarkably faithful way. Here, we test whether such neural activity, particularly low-frequency (<8 Hz; delta–theta) oscillations, similarly entrain to music and whether experience modifies such a cortical phenomenon. Music of varying tempi was used to test
entrainment at different rates. In three magnetoencephalography experiments, we recorded from nonmusicians, as well as musicians with varying years of experience. Recordings from nonmusicians demonstrate cortical
entrainment that tracks musical stimuli over a typical range of tempi, but not at tempi below 1 note per second. Importantly, the observed
entrainment correlates with performance on a concurrent pitch-related behavioral task. In contrast, the data from musicians show that
entrainment is enhanced by years of musical training, at all presented tempi. This suggests a bidirectional relationship between behavior and cortical
entrainment, a phenomenon that has not previously been reported. Additional analyses focus on responses in the beta range (∼15–30 Hz)—often linked to delta activity in the context of temporal predictions. Our findings provide evidence that the role of beta in temporal predictions scales to the complex hierarchical rhythms in natural music and enhances processing of musical content. This study builds on important findings on brainstem plasticity and represents a compelling demonstration that cortical neural
entrainment is tightly coupled to both musical training and task performance, further supporting a role for cortical oscillatory activity in music perception and cognition.Cortical oscillations in specific frequency ranges are implicated in many aspects of auditory perception. Principal among these links are “delta–theta phase
entrainment” to sounds, hypothesized to parse signals into chunks (<8 Hz) (
1–
6), “alpha suppression,” correlated with intelligible speech (∼10 Hz) (
7,
8), and “beta oscillatory modulation,” argued to reflect the prediction of rhythmic inputs (∼20 Hz) (
9–
13).In particular, delta–theta tracking is driven by both stimulus acoustics and speech intelligibility (
14,
15). Such putative cortical
entrainment is, however, not limited to speech but is elicited by stimuli such as FM narrowband noise (
16,
17) or click trains (
18). Overall, the data suggest that, although cortical
entrainment is necessary to support intelligibility of continuous speech—perhaps by parsing the input stream into chunks for subsequent decoding—the reverse does not hold: “intelligibility” is not required to drive
entrainment. The larger question of the function of
entrainment in general auditory processing remains unsettled. Therefore, we investigate here whether this mechanism extends to a different, salient, ecological stimulus: music.In addition, higher-frequency activity merits scrutiny. Rhythmic stimuli evince beta band activity (15–30 Hz) (
10,
19), associated with synchronization across sensorimotor cortical networks (
20,
21). Beta power is modulated at the rate of isochronous tones, and its variability reduces with musical training (
19). These effects have been noted in behavioral (tapping to the beat) tasks: musicians show less variability, greater accuracy, and improved detection of temporal deviations (
22,
23). Furthermore, prestimulus beta plays a role in generating accurate temporal predictions even in pure listening tasks (
9). Here, we test whether this mechanism scales to naturalistic and complex rhythmic stimuli such as music.Musical training has wide-ranging effects on the brain, e.g., modulating auditory processing of speech and music (
24–
27) and inducing structural changes in several regions (
28–
30). Recent work (
31) has shown that musical training induces changes in amplitude and latency to brainstem responses. Building on effects such as these, we expect that increased
entrainment and reliability in musicians’ cortical responses may reflect expertise. We explore three hypotheses: (
i) like speech, music will trigger cortical neural
entrainment processes at frequencies corresponding to the dominant note rate; (
ii) musical training enhances cortical
entrainment; and (
iii) beta rhythms coupled with entrained delta–theta oscillations underpin accuracy in musical processing.This study focuses on a low-level stimulus feature: note rate. This methodological choice allows us to study the rate of the music without delving into the complexities of beat and meter, which can shift nonmonotonically with increasing overall rate (i.e., faster notes are often arranged into larger groupings). As the
entrainment mechanism occurs for a wide range of acoustic stimuli, we find it unlikely to be following beat or meter in music: such clear groupings do not exist in other stimulus types. It should, however, be noted that influential recent research has addressed cortical beat or meter
entrainment (
11,
12,
32–
37). In particular, using EEG, selective increases in power at beat and meter frequencies have been observed, even when those frequencies are not dominant in the acoustic spectrum (
35,
36). Similarly, Large and Snyder (
12) have proposed a framework in which beta and gamma support auditory–motor interactions and encoding of musical beat. Such beat induction has been linked with more frontal regions such as supplementary motor area, premotor cortex, and striatum (
33), suggesting higher-order processing of the stimulus that is linked to motor output.In relation to these interesting findings, our goal is to identify a distinct
entrainment process and, by hypothesis, a necessary precursor to the higher-order beat
entrainment mechanism: the parsing of individual notes within a stream of music. We suggest further that beta activity may reflect such low-level temporal regularity in the generation of temporal predictions for upcoming notes. As such, the metric, notes per second (
Materials and Methods), is meant to be associated with this more general process of event chunking—which must occur in all forms of sound stream processing—and should therefore not be confused with beat, meter, and the complex cognitive processes associated with these operations.
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